Senior Manager, Advanced Analytics (Ops & Fleet) at Republic Services in Phoenix, AZ | Kablio

Role

Description

solution development

quality control

experimental design

model validation

data preparation

machine learning

Leads the team in defining and developing production-ready solutions.
Implements best practices and repeatable processes that ensure consistent, quality delivery of modeling and analytics work. This encompasses responsibility for quality control including ensuring that appropriate documentation and peer review processes are in place.
Works with field organizations to construct statistically valid tests of new initiatives. Responsible for experimental design, measurement of results and the development of strategy insights and implications.
Evaluates and validates correctness of models and analysis. Assesses and confirms performance of models and analysis. Validates that models and analyses meet business objectives.
Conducts extensive analysis around price elasticity, willingness to pay, competitive assessment, and price-volume trade off curves.
Communicates analytical results to clients in a consultative manner, and always at a level that is consistent with the target audience
Prepares complex data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, feature engineering, and handling multivariate data.
Modifies and analyzes data sets using complex analytics techniques such as machine learning, advanced statistical analysis, mathematical optimization and simulation. Identifies modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and business goals.
Partners with business customers as a thought leader to identify research and/or business opportunities that the analytics team can support.
Collaborates with business leaders to define a roadmap of data science deliverables.
Builds and manages a best-in-class advanced analytics team.
Participates in determination of stakeholder needs and ensures business value is realized. Determines data analysis goals given business objectives. Determines data requirements and performance metrics to support analysis.

Requirements

sql

python

machine learning

master’s

leadership

data science

5+ years of experience and demonstrated proficiency with quantitative tools including MS SQL, SAS, R, Python or similar statistical software.
Waste Industry experience or experience working in a subscription-based industry.
Knowledge of logistics, supply chain, and fleet management a plus. Applied experience with experimental design, time series modeling, and optimization preferred.
Master’s degree
5+ years of experience working with IT or other operational resources to automate analytics workflows and models.
5+ years of experience building, managing and manipulating large data sets in a database environment
Demonstrates attention to detail, organization, and deliverables, including driving projects to completion in accordance with established timelines.
Bachelor’s Degree in an analytical field (Mathematics, Economics, Computer Science, Information Management, Statistics, Finance, Engineering, etc.).
5+ Years of experience and demonstrated knowledge of applying statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees to real word business problems.
Prior leadership experience is required, experience as a Data Scientist preferred.
2+ years of experience leading analysts directly or in a matrix capacity as part of large, complex projects requiring resources across multiple teams.
Demonstrated proficiency with MS Office including Word, SQL Server, and PowerPoint. Excel skills should be advanced

Benefits

Employee discount programs.
Health care and dependent care spending accounts.
Comprehensive medical benefits coverage, dental plans and vision coverage.
Life insurance and accidental death & dismemberment insurance.
Retirement plan with a generous company match.
Great Place to Work
Short- and long-term disability.
Employee and Family Assistance Program (EAP).
Employee Stock Purchase Plan (ESPP).

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1981

Year Founded

Established as a regional waste hauler.

$16 Billion

2024 Revenue

Annual revenue achieved in 2024.

$2+ Billion

2024 Net Income

Net income for the year 2024.

It operates collection, transfer, recycling centers, landfills and energy‑from‑waste facilities across the U.S.
Typical projects include curbside residential pickup, commercial/industrial waste hauling, recycling operations and landfill gas‑to‑energy plants.
Specialisms span residential and commercial collection, industrial waste services, recycling processing, hazardous waste treatment, and renewable energy generation.

Culture + Values

Safe – We protect the livelihoods of our colleagues and communities.
Committed to Serve – We go above and beyond to exceed our customers’ expectations.
Environmentally Responsible – We take action to improve our environment.
Driven – We deliver results in the right way.
Human-centered – We respect the dignity and unique potential of every person.

Environment + Sustainability

35% emissions reduction

Net-zero greenhouse gas target

Aims to reduce absolute Scope 1 and 2 emissions by 35% by 2030, aligned with the Science Based Targets initiative (SBTi).

15% emissions reduction

Early achievement of interim target

Reduced operational greenhouse gas emissions by 15% as of 2023, meeting the 2025 interim target two years early.

40% material recovery increase

Resource recovery goal

Aims to increase the recovery of key materials by 40% by 2030, supporting circularity and resource efficiency.

50% biogas reuse increase

Biogas beneficial reuse target

Committed to increasing biogas sent to beneficial reuse by 50% by 2030, enhancing renewable energy generation.

Open five new renewable natural gas plants; renewable-energy portfolio includes 86 projects
Deploy collision-avoidance cameras on collection trucks (2,200+ units)
Pace electrification: goal for 50% of new refuse vehicle purchases to be EVs by 2028
Initiatives include landfill-gas-to-energy, polymer center for plastics circularity, recycling and organics programs
Employee engagement goal: maintain ≥ 88% by 2030 (supports sustainability culture)

Inclusion & Diversity

50% Ethnically Diverse Workforce

Diverse Workforce Representation

Half of the company's workforce is composed of ethnically diverse individuals, reflecting a commitment to inclusivity.

38% Leadership Roles by Women

Women in Top Leadership

38% of top leadership positions within the company are held by women, showcasing progress toward gender equality.

$75.8M with Diverse Suppliers

Diverse Supplier Spending

The company spent $75.8 million with certified diverse suppliers in 2022, aiming for $150 million by 2025.

82% Employee Satisfaction

Employee Satisfaction Rating

82% of employees rated the company as a great place to work in a 2024 survey, reflecting a supportive workplace culture.

Established MOSAIC Council in 2013 to drive inclusion efforts, including recruiting partnerships, training, leadership development, and business resource group support.
Removed college-degree requirements for many roles to broaden access and inclusivity.
Aims to achieve 50% diversity in leadership roles by 2030.

Articles

Media Room

Customer Support

Reddit: strike information & customer email

Role

Description

solution development

quality control

experimental design

model validation

data preparation

machine learning

Leads the team in defining and developing production-ready solutions.
Implements best practices and repeatable processes that ensure consistent, quality delivery of modeling and analytics work. This encompasses responsibility for quality control including ensuring that appropriate documentation and peer review processes are in place.
Works with field organizations to construct statistically valid tests of new initiatives. Responsible for experimental design, measurement of results and the development of strategy insights and implications.
Evaluates and validates correctness of models and analysis. Assesses and confirms performance of models and analysis. Validates that models and analyses meet business objectives.
Conducts extensive analysis around price elasticity, willingness to pay, competitive assessment, and price-volume trade off curves.
Communicates analytical results to clients in a consultative manner, and always at a level that is consistent with the target audience
Prepares complex data for analysis, e.g. cleansing, conditioning, transforming, handling missing fields, feature engineering, and handling multivariate data.
Modifies and analyzes data sets using complex analytics techniques such as machine learning, advanced statistical analysis, mathematical optimization and simulation. Identifies modeling attributes and parameters. Applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and business goals.
Partners with business customers as a thought leader to identify research and/or business opportunities that the analytics team can support.
Collaborates with business leaders to define a roadmap of data science deliverables.
Builds and manages a best-in-class advanced analytics team.
Participates in determination of stakeholder needs and ensures business value is realized. Determines data analysis goals given business objectives. Determines data requirements and performance metrics to support analysis.

Requirements

sql

python

machine learning

master’s

leadership

data science

5+ years of experience and demonstrated proficiency with quantitative tools including MS SQL, SAS, R, Python or similar statistical software.
Waste Industry experience or experience working in a subscription-based industry.
Knowledge of logistics, supply chain, and fleet management a plus. Applied experience with experimental design, time series modeling, and optimization preferred.
Master’s degree
5+ years of experience working with IT or other operational resources to automate analytics workflows and models.
5+ years of experience building, managing and manipulating large data sets in a database environment
Demonstrates attention to detail, organization, and deliverables, including driving projects to completion in accordance with established timelines.
Bachelor’s Degree in an analytical field (Mathematics, Economics, Computer Science, Information Management, Statistics, Finance, Engineering, etc.).
5+ Years of experience and demonstrated knowledge of applying statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees to real word business problems.
Prior leadership experience is required, experience as a Data Scientist preferred.
2+ years of experience leading analysts directly or in a matrix capacity as part of large, complex projects requiring resources across multiple teams.
Demonstrated proficiency with MS Office including Word, SQL Server, and PowerPoint. Excel skills should be advanced

Benefits

Employee discount programs.
Health care and dependent care spending accounts.
Comprehensive medical benefits coverage, dental plans and vision coverage.
Life insurance and accidental death & dismemberment insurance.
Retirement plan with a generous company match.
Great Place to Work
Short- and long-term disability.
Employee and Family Assistance Program (EAP).
Employee Stock Purchase Plan (ESPP).

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1981

Year Founded

Established as a regional waste hauler.

$16 Billion

2024 Revenue

Annual revenue achieved in 2024.

$2+ Billion

2024 Net Income

Net income for the year 2024.

It operates collection, transfer, recycling centers, landfills and energy‑from‑waste facilities across the U.S.
Typical projects include curbside residential pickup, commercial/industrial waste hauling, recycling operations and landfill gas‑to‑energy plants.
Specialisms span residential and commercial collection, industrial waste services, recycling processing, hazardous waste treatment, and renewable energy generation.

Culture + Values

Safe – We protect the livelihoods of our colleagues and communities.
Committed to Serve – We go above and beyond to exceed our customers’ expectations.
Environmentally Responsible – We take action to improve our environment.
Driven – We deliver results in the right way.
Human-centered – We respect the dignity and unique potential of every person.

Environment + Sustainability

35% emissions reduction

Net-zero greenhouse gas target

Aims to reduce absolute Scope 1 and 2 emissions by 35% by 2030, aligned with the Science Based Targets initiative (SBTi).

15% emissions reduction

Early achievement of interim target

Reduced operational greenhouse gas emissions by 15% as of 2023, meeting the 2025 interim target two years early.

40% material recovery increase

Resource recovery goal

Aims to increase the recovery of key materials by 40% by 2030, supporting circularity and resource efficiency.

50% biogas reuse increase

Biogas beneficial reuse target

Committed to increasing biogas sent to beneficial reuse by 50% by 2030, enhancing renewable energy generation.

Open five new renewable natural gas plants; renewable-energy portfolio includes 86 projects
Deploy collision-avoidance cameras on collection trucks (2,200+ units)
Pace electrification: goal for 50% of new refuse vehicle purchases to be EVs by 2028
Initiatives include landfill-gas-to-energy, polymer center for plastics circularity, recycling and organics programs
Employee engagement goal: maintain ≥ 88% by 2030 (supports sustainability culture)

Inclusion & Diversity

50% Ethnically Diverse Workforce

Diverse Workforce Representation

Half of the company's workforce is composed of ethnically diverse individuals, reflecting a commitment to inclusivity.

38% Leadership Roles by Women

Women in Top Leadership

38% of top leadership positions within the company are held by women, showcasing progress toward gender equality.

$75.8M with Diverse Suppliers

Diverse Supplier Spending

The company spent $75.8 million with certified diverse suppliers in 2022, aiming for $150 million by 2025.

82% Employee Satisfaction

Employee Satisfaction Rating

82% of employees rated the company as a great place to work in a 2024 survey, reflecting a supportive workplace culture.

Established MOSAIC Council in 2013 to drive inclusion efforts, including recruiting partnerships, training, leadership development, and business resource group support.
Removed college-degree requirements for many roles to broaden access and inclusivity.
Aims to achieve 50% diversity in leadership roles by 2030.

Articles

Media Room

Customer Support

Reddit: strike information & customer email